Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUDIAK Anatolii | 53 |
| 3 | VASYLYUK Andriy | 65 |
| 5 | BUTS Vitaliy | 68 |
| 6 | LUCHSHENKO Sergey | 63 |
| 8 | STASH Mamyr | 77 |
| 11 | ROSTOVTSEV Sergey | 73 |
| 14 | TIGRINE Mehdi | 61 |
| 15 | MIKAYILZADE Musa | 66 |
| 17 | BALKAN Serkan | 64 |
| 22 | SYRITSA Gleb | 85 |
| 24 | SMIRNOV Ivan | 83 |
| 25 | NOVIKOV Savva | 65 |
| 28 | SMIRNOV Aleksandr | 69 |
| 29 | ERSHOV Artur | 70 |